Chen Ju

According to our database, Chen Ju authored at least 31 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance.

Haicheng Wang, Zhemeng Yu, Gabriele Spadaro, Chen Ju, Victor Quétu, Enzo Tartaglione

CoRR, January, 2025

2024

Multi-modal Prototypes for Open-World Semantic Segmentation.

Yuhuan Yang, Chaofan Ma, Chen Ju, Fei Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang

Int. J. Comput. Vis., December, 2024

Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training.

Haicheng Wang, Chen Ju, Weixiong Lin, Shuai Xiao, Mengting Chen, Yixuan Huang, Chang Liu, Mingshuai Yao, Jinsong Lan, Ying Chen, Qingwen Liu, Yanfeng Wang

CoRR, 2024

Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation.

Jiajun Cui, Xu Chen, Shuai Xiao, Chen Ju, Jinsong Lan, Qingwen Liu, Wei Zhang

CoRR, 2024

Enhancing Cross-Domain Click-Through Rate Prediction via Explicit Feature Augmentation.

Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Annotation-free Audio-Visual Segmentation.

Jinxiang Liu, Yu Wang, Chen Ju, Chaofan Ma, Ya Zhang, Weidi Xie

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models.

Chen Ju, Haicheng Wang, Haozhe Cheng, Xu Chen, Zhonghua Zhai, Weilin Huang, Jinsong Lan, Shuai Xiao, Bo Zheng

Proceedings of the Computer Vision - ECCV 2024, 2024

Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment.

Mengting Chen, Xi Chen, Zhonghua Zhai, Chen Ju, Xuewen Hong, Jinsong Lan, Shuai Xiao

Proceedings of the Computer Vision - ECCV 2024, 2024

Audio-Visual Segmentation via Unlabeled Frame Exploitation.

Jinxiang Liu, Yikun Liu, Fei Zhang, Chen Ju, Ya Zhang, Yanfeng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization.

Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang, Qi Tian

IEEE Trans. Multim., 2023

Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Models.

Chen Ju, Haicheng Wang, Zeqian Li, Xu Chen, Zhonghua Zhai, Weilin Huang, Shuai Xiao

CoRR, 2023

Audio-aware Query-enhanced Transformer for Audio-Visual Segmentation.

Jinxiang Liu, Chen Ju, Chaofan Ma, Yanfeng Wang, Yu Wang, Ya Zhang

CoRR, 2023

Multi-Modal Prototypes for Open-Set Semantic Segmentation.

Yuhuan Yang, Chaofan Ma, Chen Ju, Ya Zhang, Yanfeng Wang

CoRR, 2023

Multi-modal Prompting for Low-Shot Temporal Action Localization.

Chen Ju, Zeqian Li, Peisen Zhao, Ya Zhang, Xiaopeng Zhang, Qi Tian, Yanfeng Wang, Weidi Xie

CoRR, 2023

DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery.

Chaofan Ma, Yuhuan Yang, Chen Ju, Fei Zhang, Jinxiang Liu, Yu Wang, Ya Zhang, Yanfeng Wang

CoRR, 2023

Constraint and Union for Partially-Supervised Temporal Sentence Grounding.

Chen Ju, Haicheng Wang, Jinxiang Liu, Chaofan Ma, Ya Zhang, Peisen Zhao, Jianlong Chang, Qi Tian

CoRR, 2023

Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation.

Chaofan Ma, Yuhuan Yang, Chen Ju, Fei Zhang, Ya Zhang, Yanfeng Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distilling Vision-Language Pre-Training to Collaborate with Weakly-Supervised Temporal Action Localization.

Chen Ju, Kunhao Zheng, Jinxiang Liu, Peisen Zhao, Ya Zhang, Jianlong Chang, Qi Tian, Yanfeng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

MePark: Using Meters as Sensors for Citywide On-Street Parking Availability Prediction.

Dong Zhao, Chen Ju, Guanzhou Zhu, Jing Ning, Dan Luo, Desheng Zhang, Huadong Ma

IEEE Trans. Intell. Transp. Syst., 2022

Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisation.

Jinxiang Liu, Chen Ju, Weidi Xie, Ya Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Prompting Visual-Language Models for Efficient Video Understanding.

Chen Ju, Tengda Han, Kunhao Zheng, Ya Zhang, Weidi Xie

Proceedings of the Computer Vision - ECCV 2022, 2022

The Introduction of Positive Position in "V_Wish + VP_neg" and Its Pragmatic Consequences.

Chen Ju, Yulin Yuan

Proceedings of the Chinese Lexical Semantics - 23rd Workshop, 2022

2021

Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization.

Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Xiaoyun Zhang, Qi Tian

CoRR, 2021

Unsupervised Domain Adaption via Similarity-Based Prototypes for Cross-Modality Segmentation.

Ziyu Ye, Chen Ju, Chaofan Ma, Xiaoyun Zhang

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Divide and Conquer for Single-frame Temporal Action Localization.

Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Yanfeng Wang, Qi Tian

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

D2Park: Diversified Demand-aware On-street Parking Guidance.

Dong Zhao, Zijian Cao, Chen Ju, Desheng Zhang, Huadong Ma

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses.

Chen Ju, Peisen Zhao, Ya Zhang, Yanfeng Wang, Qi Tian

CoRR, 2020

Constraining Temporal Relationship for Action Localization.

Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Qi Tian

CoRR, 2020

Bottom-Up Temporal Action Localization with Mutual Regularization.

Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang, Qi Tian

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

Construction of QC-LDPC Codes Based on Pre-Masking and Local Optimal Searching.

Dongdong Wang, Liqian Wang, Xue Chen, Aimei Fei, Chen Ju, Zhirong Wang

IEEE Commun. Lett., 2018

2017

Distinguishing chaotic time series from noise: A random matrix approach.

Bin Ye, Jianxing Chen, Chen Ju, Huijun Li, Xuesong Wang

Commun. Nonlinear Sci. Numer. Simul., 2017